scholarly journals Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer

2017 ◽  
Vol 7 (5) ◽  
pp. 2309
Author(s):  
S. Siva Sakthi ◽  
R.K. Santhi ◽  
N. Murali Krishnan ◽  
S. Ganesan ◽  
S. Subramanian
Keyword(s):  
Power System ◽  
Wind Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Thermal Unit ◽  
Solution Quality

The augment of ecological shield and the progressive exhaustion of traditional fossil energy sources have increased the interests in integrating renewable energy sources into existing power system. Wind power is becoming worldwide a significant component of the power generation portfolio. Profuse literature have been reported for the thermal Unit Commitment (UC) solution. In this work, the UC problem has been formulated by integrating wind power generators along with thermal power system. The Wind Generator Integrated UC (WGIUC) problem is more complex in nature, that necessitates a promising optimization tool. Hence, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm has been chosen as the main optimization tool and real coded scheme has been incorporated to handle the operational constraints. The standard test systems are used to validate the potential of the GWO algorithm. Moreover, the ramp rate limits are also included in the mathematical WGIUC formulation. The simulation results prove that the intended algorithm has the capability of obtaining economical resolutions with good solution quality.

A mutual approach for profit-based unit commitment in deregulated power system integrated with renewable energy sources

2020 ◽  
pp. 014233122096631
Author(s):  
T Anbazhagi ◽  
K Asokan ◽  
R AshokKumar
Keyword(s):  
Power System ◽  
Objective Function ◽  
Wind Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Optimal Solution ◽  
Lévy Flight ◽  
Levy Flight ◽  
Mutual Approach ◽  
Deregulated Power System

This paper proposes a mutual technique for solving the profit-based unit commitment (PBUC) problem in deregulated power system integrated with wind power. The proposed mutual approach is the joined execution of different solution techniques and known by the non-dominated sorting of moth fly optimization (MFO) with levy flight search (NSMFLF) technique. In the proposed approach, the levy flight search and the traditional moth flame optimization looking conduct is prepared in parallel as for the objective function and update the conceivable combination of generation units. The objective function maximizes the profit of the generating companies as for the revenue and total fuel cost in light of the gauge estimations of power demand, price and reserve power. Here, the uncertainty events of the wind power are predicted by utilizing the artificial intelligence techniques. Thus, the system is ensured with the high utilization of wind power. Finally, the non-dominated sorting is performed to choose the optimal solution from the conceivable generated combinations. The optimal combination used to maximize the profit of the generating companies and solve the PBUC problem in light of the objective function. The proposed method is implemented in the matrix laboratory working stage and the outcomes are analyzed with the current strategies.

A Scalable, Economical, Uninterrupted Solar Thermal Power System

2010 ◽  
Author(s):  
Brent R. Bartlett ◽  
Bruce McGeoch ◽  
Edward Whitaker ◽  
David A. Torrey
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Electrical Power ◽  
Solar Thermal ◽  
Energy Sources ◽  
Solar Thermal Power ◽  
Thermal Power System ◽  
Made In

Recent years have seen a surge of interest in renewable energy sources. Most renewable energy sources are intermittent in their production of power. One solution is to store the energy and draw from that stored energy in a controlled fashion. Recent advances have been made in solar thermal storage that would allow a solar thermal power system to operate year round and around the clock at nearly constant levels of electrical power production. This paper outlines how this can be accomplished.

scholarly journals Impact of compressed air energy storage system into diesel power plant with wind power penetration

2019 ◽  
Vol 9 (3) ◽  
pp. 1553
Author(s):  
Abdulla Ahmed ◽  
Tong Jiang
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Plant ◽  
Power System ◽  
Wind Power ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Compressed Air ◽  
Energy Sources ◽  
Compressed Air Energy Storage

<p>The wind energy plays an important role in power system because of its renewable, clean and free energy. However, the penetration of wind power (WP) into the power grid system (PGS) requires an efficient energy storage systems (ESS). compressed air energy storage (CAES) system is one of the most ESS technologies which can alleviate the intermittent nature of the renewable energy sources (RES). Nyala city power plant in Sudan has been chosen as a case study because the power supply by the existing power plant is expensive due to high costs for fuel transport and the reliability of power supply is low due to uncertain fuel provision. This paper presents a formulation of security-constrained unit commitment (SCUC) of diesel power plant (DPP) with the integration of CAES and PW. The optimization problem is modeled and coded in MATLAB which solved with solver GORUBI 8.0. The results show that the proposed model is suitable for integration of renewable energy sources (RES) into PGS with ESS and helpful in power system operation management.</p>

scholarly journals Analysis of Economic-Technical Potential of Renewable Power Sources for the Establishment of National Renewable Energy Center in Ninh Thuan Province, Vietnam

2020 ◽  
Vol 209 ◽  
pp. 06022
Author(s):  
Vu Minh Phap ◽  
Doan Van Binh ◽  
Nguyen Hoai Nam ◽  
A. V. Edelev ◽  
M. A. Marchenko
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Wind Power ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Economic Indicators ◽  
Offshore Wind ◽  
Energy Sources ◽  
Power Sources ◽  
Energy Center

Currently, Vietnam‘s energy source structure is being changed by which renewable energy sources play more important role to meet the electricity demand and reduce greenhouse gas emissions from fossil energy sources. Vietnam’s energy development strategy determines to build some renewable energy centers, of which Ninh Thuan is the first province designated to become a national renewable energy center. This is based on Ninh Thuan’s endowment as a province having the largest renewable energy potential in Vietnam. Development of a large renewable energy center allows power system planners to overcome the mismatch in timescales associated with developing transmission power grid and renewable energy generation. Besides, renewable energy center can facilitate a significant pipeline of large-scale renewable energy and storage projects. However, Ninh Thuan province is far away from the major load centers of Vietnam so the calculation and analysis of economic indicators need to be studied. This paper will present the results of the analysis of economic indicators of major renewable electricity sources in Ninh Thuan (onshore wind power, offshore wind power, solar power) to provide scientific arguments for developing a renewable energy center in Vietnam. Also the paper addresses the problem of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.

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